Matrix Display Without Row and Column Names

Matrix display without row and column names?

If you want to retain the dimension names but just not print them, you can define a new print function.

print.matrix <- function(m){
write.table(format(m, justify="right"),
            row.names=F, col.names=F, quote=F)
}

> print(mat)
 1  3  5  7  9 11 13 15 17 19
 2  4  6  8 10 12 14 16 18 20

Display a list of matrices without row and column names

So you are just missing the headers? How about something like

library(purrr) #for walk2()
print_with_name <- function(mat, name) {
  cat(name,"\n")
  write.table(mat, sep = " ",  row.names = F, col.names = F)
}
myList %>% walk2(., names(.), print_with_name) 

Print a matrix without row and column indices

The function prmatrix in the base package could work for this, it can take the arguments collab and rowlab:

prmatrix(diag(3), rowlab=rep("",3), collab=rep("",3))

 1 0 0
 0 1 0
 0 0 1

Convert a table without any col and row name created from a matrix to data frame

We can use as.data.frame with optional parameter set to TRUE

timestp <- as.data.frame(tstp, optional = TRUE)

colnames(df)
#NULL

Read in matrix without row and column names in R

You need to use header = TRUE and row.names = 1 to read in the first row and first column as dimension names.

dat <- data.matrix(read.csv("matrix_min.csv", header = TRUE, row.names = 1,
                           sep = ","))

Then, as suggested in the comments, use dimnames<- to remove the dimension names:

dimnames(dat) <- NULL

subsetting data.frame without column names

What you want is a numeric vector instead of a data.frame. For this, you can just use as.numeric to do the conversion

> as.numeric(df[1,])
[1] 7.5 5.0 5.0 2.0 7.5 2.0 2.0 5.0

How can I name a column of matrix row names

Replace the rownames and colnames statements with a dimnames statement:

dimnames(m) <- list("Prior Experience"=c("Downgraded", "", "Unchanged", "", "Upgraded", ""), "Subsequent Experience"=c("Downgraded",  "Unchanged",    "Upgraded", "Obs."))
print(m, digits=3)
#                 Subsequent Experience
# Prior Experience Downgraded Unchanged Upgraded Obs.
#       Downgraded     0.1689    0.2750   0.5561  811
#                      0.0132    0.0157   0.0174   NA
#       Unchanged      0.3215    0.4588   0.2197  983
#                      0.0149    0.0159   0.0132   NA
#       Upgraded       0.4542    0.3924   0.1534  841
#                      0.0172    0.0168   0.0124   NA

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